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Aims of the Study: This study compared prevalences of myocardial infarction between data drawn from health interviews and claims data from statutory health insurance. Previous comparative studies have drawn comparisons without having considered possible differences in the sociodemographic structure of the underlying study populations. The approach applied here aimed to match the sociodemographic structure via available information in both datasets and to compare prevalences in parallelized samples., Methodology: Data from the German Health Interview and Examination Study for Adults (DEGS1) and claims data from the AOK Lower Saxony (AOKN) were used. To match the sociodemographic structure of the two data sets, a parallelized sample was drawn from the AOKN data according to sex, age, and vocational training qualification. As part of a sensitivity analysis, additional samples were drawn and a mean overall prevalence was calculated from them., Results: Data from 5779 DEGS1 respondents and 22 534 AOKN insured persons were used for the analysis. After parallelization of the AOKN-sample by sex, age, and vocational training qualification, no significant differences in prevalence of myocardial infarction could be found between claims data from the AOKN and data from the DEGS1 Health Survey. In men, there were tendencies toward lower prevalence of myocardial infarction in the AOKN data. Possible explanations include the selection of less morbid insured persons by using the vocational education degree for parallelization or memory discrepancies in survey data., Conclusion: Differences in sociodemographic structure may play a role the interpretation of disease prevalence from difference data sources. This can be compensated for by parallelizing the samples. Future comparative analyses should take into account characteristics of the socioeconomic status. Similar analyses of other diseases such as stroke, diabetes, and metabolic disorders would be desirable., Competing Interests: SG hat in den letzten 3 Jahren Projektmittel von der AOK Niedersachsen zur Finanzierung diverser gemeinsamer wissenschaftlicher Forschungsprojekte erhalten. JT wird aus Projektmitteln ko-finanziert, die von der AOK Niedersachsen zur Verfügung gestellt wurden. JE wurde in den letzten 3 Jahren aus Projektmitteln ko-finanziert, die von der AOK Niedersachsen zur Verfügung gestellt wurden. AOK Niedersachsen hat zu keinem Zeitpunkt einen Einfluss auf die Fragestellung oder die Auswertung oder die Interpretation der Daten gehabt., (Thieme. All rights reserved.)

Background: Despite substantial improvements in prevention and therapy, myocardial infarction (MI) remains a frequent health event, causing high mortality and serious health impairments. Previous research lacks evidence on how social inequalities in incidence and mortality risks developed over time, and on how these developments affect the lifespan free of MI and after MI in different social subgroups. This study investigates income inequalities in MI-free life years and life years after MI and whether these inequalities widened or narrowed over time., Methods: The analyses are based on claims data of a large German health insurance provider insuring approximately 2.8 million individuals in the federal state Lower Saxony. Trends in income inequalities in incidence and mortality were assessed for all subjects aged 60 years and older by comparing the time periods 2006-2008 and 2015-2017 using multistate survival models. Trends in the number of life years free of MI and after MI were calculated separately for income groups by applying multistate life table analyses., Results: MI incidence and mortality risks decreased over time, but declines were strongest among men and women in the higher-income group. While life years free of MI increased in men and women with higher incomes, no MI-free life years were gained in the low-income group. Among men, life years after MI increased irrespective of income group., Conclusions: Income inequalities in the lifespan spent free of MI and after MI widened over time. In particular, men with low incomes are disadvantaged, as life years spent after MI increased, but no life years free of MI were gained., (© 2021. The Author(s).)

Background: Acute myocardial infarction (MI) remains a frequent health event and a major contributor to long-term impairments globally. So far, research on social inequalities in MI incidence and mortality with respect to MI severity is limited. Furthermore, evidence is lacking on disparities in the length of life affected by MI. This study investigates social inequalities in MI incidence and mortality as well as in life years free of MI and affected by the consequences of mild or severe MI., Methods: The study is based on data of a large German statutory health insurance provider covering the years 2008 to 2017 (N = 1,253,083). Income inequalities in MI incidence and mortality risks and in life years with mild or severe MI and without MI were analysed using multistate analyses. The assessment of MI severity is based on diagnosed heart failure causing physical limitations., Results: During the study period a total of 39,832 mild MI, 22,844 severe MI, 276,582 deaths without MI, 15,120 deaths after mild MI and 16,495 deaths after severe MI occurred. Clear inequalities were found in MI incidence and mortality, which were strongest among men and in severe MI incidence. Moreover, substantial inequalities were found in life years free of MI in both genders to the disadvantage of those with low incomes and increased life years after mild MI in men with higher incomes. Life years after severe MI were similar across income groups., Conclusions: Social inequalities in MI incidence and mortality risks led to clear disparities in the length of life free of MI with men with low incomes being most disadvantaged. Our findings stress the importance of primary and secondary prevention focusing especially on socially disadvantaged groups.

Background: Defining incident cases has always been a challenging issue for researchers working with routine data. Lookback periods should enable researchers to identify and exclude recurrent cases and increase the accuracy of the incidence estimation. There are different recommendations for lookback periods depending on a disease entity of up to 10 years. Well-known drawbacks of the application of lookback periods are shorter remaining observation period in the dataset or smaller number of cases. The problem of selectivity of the remaining population after introducing lookback periods has not been considered in the literature until now., Methods: The analyses were performed with pseudonymized claims data of a German statutory health insurance fund with annual case numbers of about 2,1 million insured persons. Proportions of study population excluded due to the application of lookback periods are shown according to age, occupational qualification and income. Myocardial infarction and stroke were used to demonstrate changes in incidence rates after applying lookback periods of up to 5 years., Results: Younger individuals show substantial dropouts after the application of lookback periods. Furthermore, there are selectivities regarding occupational qualification and income, which cannot be handled by age standardization. Due to selective dropouts of younger individuals, crude incidence rates of myocardial infarction and stroke increase after applying lookback periods. Depending on the income group, age-standardized incidence rates changed differentially, leading to a decrease and possible underestimation of the social gradient after applying lookback periods., Conclusions: Selectivity analyses regarding age and sociodemographic structure should be performed for the study population after applying lookback periods since the selectivity can affect the outcome especially in health care research. The selectivity effects might occur not only in claims data of one health insurance fund, but also in other longitudinal data with left- or right-censoring not covering the whole population. The effects may also apply to health care systems with a mix of public and private health insurance. A trade-off has to be considered between selectivity effects and eliminating recurrent events for more accuracy in the definition of incidence.

Little is known about trends in the age of onset of first myocardial infarction. Thus, we examined trends in the age of onset distribution of first myocardial infarction using two population-based datasets from Germany. First, we used German claims data based on an annual case number of approximately 2 million women and men covering the period from 2006 to 2016. Second, we used data from the KORA (Cooperative Health Research in the Region of Augsburg) Myocardial Infarction Registry covering the period from 2000-2016. Analyses were performed by means of quantile regression to estimate trends across the whole distribution of age of onset. Overall, N Sample 1  = 69627 and N Sample 2  = 9954 first myocardial infarctions were observed. In both samples, we found highly heterogeneous trends in age of onset. In men, we consistently found that age of onset increased before 50 and after 70 but decreased within this age bracket. For women, on the other hand, we consistently found that age of onset decreased for first myocardial infarctions before 70 but increased slightly or remained relatively stable thereafter. Therefore, late myocardial infarctions tended to occur later in life, while regular myocardial infarctions tended to occur earlier. These results suggest that in myocardial infarction, both morbidity compression and morbidity expansion might have occurred at the same time but for different parts of the age at onset distribution.

Objectives: International comparisons are suggesting that mortality inequalities may have changed in the last years, although not always into the same direction. Only a few studies examined myocardial infarction (MI). In our study, long-term developments of MI and all-cause mortality were considered by analysing social gradients by income., Methods: German claims data covering 2006 to 2015 (N = 2,474,448) were used with myocardial infarction and all-cause mortality as outcomes. Socio-economic position was depicted by individual income. Health inequalities were measured by hazard ratios between and within income groups for 10 consecutive calendar years., Results: In men, income gradients of MI and all-cause mortality were decreasing. In women, no income gradients emerged for MI, and they disappeared in mortality. In men, hazard ratios of MI and mortality decreased in the intermediate and in the lowest income thirds, thus leading to a reduction of MI-related health inequalities., Conclusions: Income inequalities in terms of myocardial infarction and of mortality have narrowed in men, and those in the lowest income third were profiting most. No such changes were observed in women.

Background: According to James Fries morbidity compression is present if morbidity rates are decreasing to a larger extent than mortality rates. Compression also occurs if age at onset is increasing at a faster pace than age at death. These two variants of the compression hypothesis were formulated as a population concept. Compression has seldom been studied with a specific disease as application., Methods: Morbidity compression was examined in terms of myocardial infarction (MI) by using German claims data covering the years 2006 to 2015. The findings are based on an annual case number of about 2 m women and men aged 18 years and older. Analyses were performed by means of proportional hazards regression and by using linear regression., Results: Decreases of morbidity rates were more pronounced than those of mortality. For men, the hazard ratio for contracting MI in 2015 as compared to 2006 was hr = 0.66 and hr = 0.71 for the female population. The respective results for mortality were hr = 0.75 in men and hr = 1.0 in women. They can be interpreted in favor of morbidity compression. For the subgroup of women and men with MI, changes of onset age revealed marked gender differences. For 2015 as compared with 2006, age at MI-occurrence in men increased by 10.5 months as compared to an increase of 10.4 months for age at death. In women changes were smaller and statistically not significant. The findings referring to women have to be interpreted against the backdrop of higher onset age and higher age at death than in men., Conclusions: Taken together, morbidity compression has occurred in terms of decreasing MI-rates as well as in terms of increased onset age in men. It can be concluded that both processes have led to an improvement of healthy lifetime. Decreasing morbidity rates in women are also pointing towards morbidity compression, a finding that is not complemented by changes of onset age. Our data are demonstrating that morbidity rates and age at onset may vary independently. From this perspective morbidity compression is a multi-faceted phenomenon., Competing Interests: Sveja Eberhard is employed by the Local Statutory Health Insurance of Lower Saxony (AOK Niedersachsen). This does not alter our adherence to PLOS ONE policies on sharing data and materials.

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